Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
DOA Estimation using fast EM and SAGE Algorithms
Signal Processing - Image and Video Coding beyond Standards
Wireless Communications
Extended 2q-MUSIC algorithm for noncircular signals
Signal Processing
Fast communication: Advantages of nonuniform arrays using root-MUSIC
Signal Processing
IEEE Transactions on Signal Processing
Joint estimation of source number and DOA using simulated annealing algorithm
Digital Signal Processing
IEEE Transactions on Signal Processing
Sensor array processing based on subspace fitting
IEEE Transactions on Signal Processing
Unitary ESPRIT: how to obtain increased estimation accuracy with areduced computational burden
IEEE Transactions on Signal Processing
An EM-Based Forward-Backward Kalman Filter for the Estimation of Time-Variant Channels in OFDM
IEEE Transactions on Signal Processing - Part II
Detection and estimation in sensor arrays using weighted subspacefitting
IEEE Transactions on Signal Processing
Detection of sources using bootstrap techniques
IEEE Transactions on Signal Processing
Space-alternating generalized expectation-maximization algorithm
IEEE Transactions on Signal Processing
Recursive EM and SAGE-inspired algorithms with application to DOA estimation
IEEE Transactions on Signal Processing - Part I
Detection of the Number of Signals Using the Benjamini-Hochberg Procedure
IEEE Transactions on Signal Processing
CHANNEL ESTIMATION FOR WIRELESS OFDM SYSTEMS
IEEE Communications Surveys & Tutorials
Cluster Characteristics in a MIMO Indoor Propagation Environment
IEEE Transactions on Wireless Communications
Channel parameter estimation in mobile radio environments using the SAGE algorithm
IEEE Journal on Selected Areas in Communications
Detection of sparse targets with structurally perturbed echo dictionaries
Digital Signal Processing
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A new array signal processing technique is proposed to estimate the direction-of-arrivals (DOAs), time delays, Doppler shifts and amplitudes of a known waveform impinging on an array of antennas from several distinct paths. The proposed technique detects the presence of multipath components by integrating cross-ambiguity functions (CAF) of array outputs, hence, it is called as the cross-ambiguity function direction finding (CAF-DF). The performance of the CAF-DF technique is compared with the space-alternating generalized expectation-maximization (SAGE) and the multiple signal classification (MUSIC) techniques as well as the Cramer-Rao lower bound. The CAF-DF technique is found to be superior in terms of root-mean-squared-error (rMSE) to the SAGE and MUSIC techniques.